The blind watermark is obtained by replacing the value of the embedded pixel of the original host image with the average of adjacent pixels.
通过将水印嵌入点的宿主图像的像素值更改为其近邻像素值的均值,而实现「盲水印」的提取。
This article presents a semantic-coding-based blind watermark detection algorithm.
提出了一种基于水印语义编码的盲检测水印算法。
Two blind watermark algorithms based on HVS in DCT domain are proposed.
提出了DCT变换域上基于人类视觉特性(HVS)的两种盲水印添加方法。
The watermark does not need origin image so that can implement blind watermark detection.
水印的提取不需要原始图像的参与,实现了盲水印检测。
This paper proposes a blind watermark algorithm which resists against printing and scanning robustly.
本文提出了一种能够抵抗打印扫描的盲水印算法。
The blind watermark was realized as the original image don't be needed when extracting watermark.
在提取水印时,不需要原始图像,完全实现了盲水印提取。
In blind watermark detection process, we also extract the feature point from the normalized image, then extract the watermark.
在进行水印盲检测时,首先对含水印图象进行归一化处理并提取特征点,然后进行水印提取。